We're building WarehouseWise on a modern microservices architecture using Spring Boot, Ktor, Angular, and PostgreSQL. Our goal is to create a system that can handle everything from small retailers to enterprise-scale operations without compromising performance.
Architecture Overview
Each module (POS, WMS, PIM, OMS, ERP, BI) operates independently but shares a unified data layer. This approach gives us the best of both worlds: the flexibility of microservices with the consistency of a monolith.
Technology Stack
Backend: We're using Spring Boot and Ktor (Java/Kotlin) for our microservices architecture. This gives us enterprise-grade reliability with modern reactive programming capabilities. Apache Pulsar handles our messaging and event streaming needs, ensuring reliable communication between services.
Frontend: Angular provides a robust, scalable framework for our web application. Its component-based architecture and powerful tooling make it ideal for building complex enterprise interfaces.
Mobile: Kotlin for Android ensures native performance and seamless integration with Android ecosystem features.
Databases: PostgreSQL serves as our primary relational database for transactional data, while CouchDB handles document storage and provides excellent replication capabilities for distributed systems.
Cache: Valkey provides high-performance caching for frequently accessed data, reducing database load and improving response times.
ML/AI: Python with FastAPI powers our machine learning and AI services, enabling intelligent features like demand forecasting and predictive analytics.
Cloud: We're cloud-agnostic by design, supporting AWS, Azure, GCP, and OCI. This flexibility allows customers to deploy on their preferred cloud provider or maintain hybrid deployments.
Data Model
The unified data layer is the heart of our architecture. Instead of each module maintaining its own database with complex ETL processes, we have a single source of truth with module-specific views and access patterns.
API Design
Every feature is built API-first. This means internal modules communicate through the same APIs that external integrations will use. It ensures consistency and makes testing much easier.
Performance Considerations
We're optimizing for real-time operations from the start. This includes connection pooling, query optimization, Valkey caching for frequently accessed data, Apache Pulsar for real-time messaging, and WebSocket connections for live updates.
Security
Multi-tenant architecture with row-level security, encrypted data at rest and in transit, and OAuth 2.0 for authentication. We're building with compliance in mind (GDPR, SOC 2) from day one.
What's Next
We're currently in the MVP development phase, focusing on core POS and WMS functionality. The architecture is designed to scale both horizontally (more servers) and vertically (more features) as we grow.